Health IT Analytics October 20, 2023
Researchers have demonstrated that a locally run large language model may be useful for extracting data from text-based radiology reports while safeguarding privacy.
Researchers from the National Institutes of Health Clinical Center (NIH CC) found that a locally run, privacy-preserving large language model (LLM) may be suitable for labeling radiography reports, according to a study published last week in Radiology.
While LLMs like ChatGPT have recently been lauded for their ability to generate human-like text responses, their healthcare applications are limited by patient data privacy constraints.
“ChatGPT and GPT-4 are proprietary models that require the user to send data to OpenAI sources for processing, which would require de-identifying patient data,” explained senior author Ronald M. Summers, MD, PhD, senior investigator...
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